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Choosing an Activation Function for Deep Learning
Choosing an Activation Function for Deep Learning
Activation functions are a critical part of the design of a neural network. The choice of activation function in the hidden layer will…
Johar M. Ashfaque
Jan 24
Approach Complex Functions with Backpropagation: How I was applying to Yandex.
Approach Complex Functions with Backpropagation: How I was applying to Yandex.
Introduction to Backpropagation and Optimization.
Chingis Oinar
Jan 24
Big Mart Sales Prediction Project Tutorial
Big Mart Sales Prediction Project Tutorial
In this Step-by-Step Big Mart Sales Prediction Tutorial you will learn to perform industry level EDA and other data science techniques.
Injemamul Irshad
Jan 23
A data scientist reviews updated statistics of the UK and US Coronavirus variants
A data scientist reviews updated statistics of the UK and US Coronavirus variants
I have not posted on COV19 in the past few days because I want to discuss a variety of data science subjects. It has recently come to…
Tracyrenee
Jan 23
How AI Will Change the Cybersecurity Industry
How AI Will Change the Cybersecurity Industry
Companies must mount a solid cyber defense against attackers who are now beginning to deploy AI as well.
Dr. Heinz Doofenshmirtz
Jan 22
Recreating Nvidia’s PilotNet in PerceptiLabs
Recreating Nvidia’s PilotNet in PerceptiLabs
Computer Vision is a key technology for building algorithms to enable self-driving cars. One of the pioneering projects in this field was…
Martin Isaksson
Jan 22
Explaining Machine Learning to Grandma: Feature Engineering
Explaining Machine Learning to Grandma: Feature Engineering
Feature Engineering for Machine Learning in Plain Language
Brinnae Bent @RunsData
Jan 22
Artificial intelligence can be used to answer statistical questions about the survivors of the…
Artificial intelligence can be used to answer statistical questions about the survivors of the…
One of the great things about artificial intelligence is the fact that computers can be programmed to carry out certain tasks much more…
Tracyrenee
Jan 22
ANN without an “E” — part II
ANN without an “E” — part II
Implementing an Artificial Multilayer Neural Network using Linear Regression Analysis
Mina Suntea
Jan 22
Iris Flower Classification Step-by-Step Tutorial
Iris Flower Classification Step-by-Step Tutorial
Do you want to learn machine learning, but you’re having trouble getting started? You will create your first Machine Learning project…
Injemamul Irshad
Jan 21
FB Prophet is not always the most suitable time series forecasting model
FB Prophet is not always the most suitable time series forecasting model
I have written a series of posts about a univariate dataset of shampoo sales dating back from 1901 to 1903. This series of posts would not…
Tracyrenee
Jan 21
Machine Learning Applied to Mammogram Classification
Machine Learning Applied to Mammogram Classification
A real-world Machine Learning project detailed step by step.
Yann Delclos
Jan 21
ANN without an “E” — part I
ANN without an “E” — part I
Implementating a basic Artificial Neural Network using Logistic Regression Analysis
Mina Suntea
Jan 20
GoogLeNet (InceptionV1) with TensorFlow
GoogLeNet (InceptionV1) with TensorFlow
InceptionV1 or with a more remarkable name GoogLeNet is one of the most successful models of the earlier years of convolutional neural…
mrgrhn
Jan 20
How statsmodels can be used to predict the sales of Shampoo
How statsmodels can be used to predict the sales of Shampoo
Statsmodels is a Python library that is used mainly for statistics. This library has several models that can be used to carry out time…
Tracyrenee
Jan 20
A.I from scratch!
A.I from scratch!
An A.I project with just your basic Python packages!
Aaron Menezes
Jan 20
VGGNet with TensorFlow (Transfer Learning with VGG16 Included)
VGGNet with TensorFlow (Transfer Learning with VGG16 Included)
VGG owes its name to the Visual Geometry Group of Oxford University. After being submitted to ILSVRC in 2014[1], the model VGGNet became…
mrgrhn
Jan 20
Introduction to Support Vector Machine(SVM)
Introduction to Support Vector Machine(SVM)
In this Blog I will be writing about a well known supervised ML algorithm used for for two-group classification problems, that is, Support…
Shubhang Agrawal
Jan 20
Linear Regression Clearly Explained (Part 2)
Linear Regression Clearly Explained (Part 2)
Understanding the fundamental maths and working of linear regression
Ashish Mehta
Jan 19
How to use Computational Search Algorithms to get Tinder Dates
How to use Computational Search Algorithms to get Tinder Dates
A comical guide to Reinforcement Learning; Bayesian Statistical Updating & the Exploration vs Exploitation Paradigm.
Zach Wolpe
Jan 19
Amplify Cloud Native development using Spring Boot, Docker & Kubernetes in VS Code!
Amplify Cloud Native development using Spring Boot, Docker & Kubernetes in VS Code!
Cloud-native Micro-service development being the focus area, we will discuss and build a sample end-to-end Java application by leveraging…
LaxmiKumar Reddy Sammeta
Jan 19
How artificial intelligence can be used to solve specific business questions
How artificial intelligence can be used to solve specific business questions
One of the main purposes of artificial intelligence is to solve complex questions that are rather cumbersome and lengthy pursuits for…
Tracyrenee
Jan 19
How I solved the JetRail competition problem by using a neural network
How I solved the JetRail competition problem by using a neural network
There are not a lot of competition questions that involve time series forecasting, but the Analytics Vidhya has a competition question…
Tracyrenee
Jan 19
Linear Algebra 2: Nullspace
Linear Algebra 2: Nullspace
Let’s explore the solutions to Ax = 0.
adam dhalla
Jan 19
Linear Algebra 1: Vector Spaces and The Columnspace
Linear Algebra 1: Vector Spaces and The Columnspace
Delving into real linear algebra with columnspace and vector spaces
adam dhalla
Jan 19
About AI In Plain English
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